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M2110-670 IBM SVP Primary advocate Provider Mastery Test v1

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M2110-670 exam Dumps Source : IBM SVP Primary advocate Provider Mastery Test v1

Test Code : M2110-670
Test appellation : IBM SVP Primary advocate Provider Mastery Test v1
Vendor appellation : IBM
exam questions : 25 real Questions

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IBM IBM SVP Primary Support

IBM’s ‘big bet’ on Kubernetes is unifying cloud suppliers throughout structures | killexams.com real Questions and Pass4sure dumps

Navigating cloud computing functions can also subsist problematic, mainly when they arrive from varied providers. hence, establishing a grandiose basis turns into much more crucial in conserving a success operations across these days’s multicloud panorama. For IBM, that basis is Kubernetes, the open-supply tool for managing containerized software functions at scale.

“IBM has taken a huge wager on Kubernetes two and a half years ago,” pointed out Daniel Berg (pictured), discrete engineer, IBM Cloud Kubernetes service, at IBM. “[We] not ever definitely regarded again; it’s their basic foundation for their platform capabilities.”

Berg spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, throughout the IBM account event in San Francisco. They discussed IBM’s Kubernetes capabilities and the business challenges of relocating operations between private and public clouds. (* Disclosure beneath.)

Bridging the multicloud gap

The IBM Cloud Kubernetes carrier at present has two distributions: IBM Cloud deepest, or ICP, which operates on-premises, and a managed provider within the public cloud. So, what are the benefits of fully retaining a private cloud with Kubernetes? The container management platform modernizes and organizes years-ancient content material.

“We’ve modernized it, assign it in containers, deploy it, and control it on Kubernetes. The nice factor is that content material you could carry on-premises where it’s crucial essentially the most and hurry it in ICP — and additionally pilfer that and hurry it in their public cloud,” Berg explained.

Kubernetes is convenient to deploy, install, and gather begun. however, it is not with out its complications. With more desirable proliferation comes improved issue in managing the discrete clusters, Berg cited. “There are silent some complexities, as a result of … you’ve obtained construction clusters; you’ve got check clusters,” he talked about.

To alleviate the problem, IBM launched a brand new product referred to as Multicloud supervisor, which provides a manage aircraft to manipulate resources throughout numerous clouds and disparate platforms. it works with ICP and IBM Kubernetes carrier however is additionally suitable with Amazon, Google, Azure and OpenShift. Multicloud manager additionally helps with security compliance and enforcement, so it gives safety anyplace it is lacking.

For agencies discovering it below feasible to hold consistency and necessities while customizing for particular facts needs, Berg mentioned the merits of diverse distributions. “if you want whatever thing that’s highly, enormously specific to a given exhaust case otherwise you absorb alterations in your infrastructure that you just should absorb greater flexibility, that’s where IBM Cloud private comes in,” he observed.

Two clouds are stronger than one

relocating to public cloud in a single fell swoop is a Herculean project, even for sizable companies similar to Amazon and Google. here is where hybrid cloud comes in. In IBM’s case, it combines ICP and OpenShift to give OpenShift clients IBM’s content material, integrated monitoring, and integrated logging onto the platform for which they're already standardized.

“as a result of they constructed and are standardized on Kubernetes, they supply Kubernetes carrier and they try this at scale and comfortable, in addition to extremely attainable,” Berg pointed out.

Berg did warn in opposition t the usage of only 1 cloud vendor, and he also informed organizations to subsist constant in what they exigency out of their providers. “however the aspect that customers accomplish deserve to examine, and what they accomplish exigency to standardize across an business, is a few of the core tenets and core technologies,” he introduced.

Visibility into workloads is also vital to a corporation’s operations, Berg defined. And IBM Cloud Monitoring does this. The tool isn't pleasing to Kubernetes, either. somewhat, it may also subsist extended into digital machines and different types of workloads. IBM’s monitoring is tremendously helped with the aid of its partnership with Sysdig Inc., Berg added.

“that you may’t construct a cloud-native acknowledge devoid of monitoring, right? Monitoring and log … it’s enjoy peanut butter and jelly. You’ve received to absorb them,” Berg concluded.

Watch the finished video interview under, and develop unavoidable to pilfer a study at greater of SiliconANGLE’s and theCUBE’s insurance of the IBM account adventure. (* Disclosure: IBM backed this section of theCUBE. Neither IBM nor different sponsors absorb editorial control over content on theCUBE or SiliconANGLE.)

photograph: SiliconANGLE considering the fact that you’re here …

… We’d enjoy to let you know about their mission and the passage which you could aid us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in line with the intrinsic price of the content material, now not promoting. not enjoy many online publications, they don’t absorb a paywall or hurry banner advertising, as a result of they are looking to hold their journalism open, with out absorb an effect on or the should chase site visitors.The journalism, reporting and commentary on SiliconANGLE — along with are living, unscripted video from their Silicon Valley studio and globe-trotting video groups at theCUBE — pilfer lots of difficult work, time and cash. preserving the grandiose high requires the advocate of sponsors who are aligned with their vision of advert-free journalism content material.

if you just enjoy the reporting, video interviews and other ad-free content material here, please pilfer a second to check out a sample of the video content supported by means of their sponsors, tweet your aid, and maintain coming lower back to SiliconANGLE.


Skytap publicizes Upcoming ordinary Availability of First Self-provider, Public Cloud Capabilities for IBM i | killexams.com real Questions and Pass4sure dumps

No outcome found, are trying new key phrase!SEATTLE, Feb. 11, 2019 /PRNewswire/ -- forward of IBM think, Skytap, a worldwide, aim-constructed public cloud company, these days introduced that its pilot for the IBM i working ... resolve," referred to Karri Alexio...

IBM: A Future Blockchain chief? | killexams.com real Questions and Pass4sure dumps

No effect found, are attempting new keyword!(source: IBM site) at the moment, IBM reviews it has three fundamental desires in its blockchain method ... in addition, IBM’s experts in the container present additional pilot for these drawn to the technol...

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Java Cryptography | portion 3 | killexams.com real questions and Pass4sure dumps

After you absorb secured your private electronic information using encryption and learned how to encrypt and digitally sign files for others, how accomplish you extract the information and determine who encrypted the file? Asymmetric public/private key encryption allows you to decipher the information and verify the accompanying digital signature if it exists.

This article illustrates how to decrypt and verify the digital signature on files encrypted using a hybrid combination of asymmetric public/private key encryption and symmetric encryption. A symmetric key is used to encrypt the file and the asymmetric public key encrypts the symmetric key. The asymmetric private key decrypts the symmetric key which in swirl is used to decrypt the encrypted file.

Figure1: Asymmetric Key Encryption Functions

The identical pair of keys can subsist used with digital signatures. The private key is used to sign a file and generate a digital signature. The public key is used to verify the authenticity of the signature.

Figure 2: Asymmetric Key Signature Functions

The decryption technique requires the Java libraries developed by the Legion of the Bouncy Castle (www.bouncycastle.org). The Bouncy Castle jars, bcprov-jdk15on-147.jar and bcpkix-jdk15on-147.jar, contains everything the methods required to encrypt, decrypt, sign and verify a digital signature. The following Java code snippet loads the BouncyCastle provider, which implements the Java Cryptography Security services such as algorithms and key generation.

import org.bouncycastle.jce.provider.*;java.security.Security.addProvider(new BouncyCastleProvider());

Decryption for Files or Java ObjectsOnce a file has been encrypted and/or signed using the DocuArmor application, it can subsist deciphered by the owner of the matching asymmetric private key. The process involves reading the header, extracting the symmetric key and deciphering the appended encrypted data. The following steps along with the Java code snippets illustrate the process used to decrypt an encrypted file.

Step 1: Assume you want to decrypt the encrypted file, C:\sampleFile.txt.jxdoe_nnnn.asg and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the encrypted file. Read the header from the encrypted file and determine decrypted output name.

File tSrcFile = new File("C:\\sampleFile.txt." + tUniqueAlias + ".aes");String tDecryptFile = tSrcFile.getName();tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));OutputStream tFileOStream = new FileOutputStream(tDecryptFile);DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;

Step 2: The private key is stored in a Java key store and is password protected. Load the key store using your password. Retrieve the asymmetric private key from the key store using the identical password. The asymmetric private key will subsist used to decrypt the symmetric key.

FileInputStream tFIStream = new FileInputStream("C:\\jxdoe_nnnn.jks");KeyStore tMyKStore = KeyStore.getInstance("JKS", "SUN");char[] tPW = "password".toCharArray();tMyKStore.load(tFIStream, tPW);PrivateKey tPrivKey = (PrivateKey)tMyKStore.getKey("jxdoe_nnnn", tPW);

Figure 3: Private Key

Step 3: Generate a Java Cipher kick using the asymmetric private key and set its mode to "Cipher.UNWRAP_MODE".

Cipher tCipherRSA = Cipher.getInstance("RSA", "BC");tCipherRSA.init(Cipher.UNWRAP_MODE, (PrivateKey)tPrivKey);

Step 4: exhaust the Java Cipher and asymmetric private key to unwrap the symmetric key. It's located in the header at the instance variable, wrappedSymKey or wrappedSymKeyOther, along with symmetric algorithm at symKeyAlgDesc. The symmetric key will subsist used to decrypt the file.

String tAlg = tHead.symKeyAlgDesc();Key tSymmetricKey =tCipherRSA.unwrap(tHead.wrappedSymKey(),tAlg, Cipher.SECRET_KEY);

Figure 4: Unwrap Symmetric Key

Step 5: Re-initialize the identical Cipher to Cipher.DECRYPT_MODE. exhaust the Cipher and the asymmetric private key to decrypt the initialization vector stored within the header at the instance variable initVector or initVectorOther.

tCipher.init(Cipher.DECRYPT_MODE, (PrivateKey)tPrivKey);byte[] tInitVector = tCipher.doFinal(tHead.initVector());IvParameterSpec tIvParmSpec = new IvParameterSpec(tInitVector);

Figure 5: Unwrap Initialization Vector

Step 6: Generate a Java Cipher kick using the symmetric key and initialization vector and set its mode to "Cipher.DECRYPT_MODE". The string representing the symmetric algorithm, mode and padding can subsist extracted from the Cryptography header using the "transformation" method.

tCipherDecrypt = Cipher.getInstance("AES/CTR/PKCS7Padding", "BC");or tCipherDecrypt = Cipher.getInstance(tHead.transformation(), "BC");tCipherDecrypt.init(Cipher.DECRYPT_MODE, tSymmetricKey, tIvParmSpec);

Step 7: exhaust the Java Cipher to decrypt the ease of the file to a Java FileOutputStream. The DataInputStream points to the start of the encrypted data after reading the header. The near result is a decrypted file.

byte[] tInBuffer = new byte[4096];byte[] tOutBuffer = new byte[4096];int tNumOfBytesRead = tDInStream.read(tInBuffer);while (tNumOfBytesRead == tInBuffer.length) {//-Encrypt the input buffer data and store in the output bufferint tNumOfBytesUpdated =tCipherDecrypt.update(tInBuffer, 0, tInBuffer.length, tOutBuffer);tFileOStream.write(tOutBuffer, 0, tNumOfBytesUpdated);tNumOfBytesRead = tDInStream.read(tInBuffer);}//-Process the remaining bytes in the input file.if (tNumOfBytesRead > 0) {tOutBuffer = tCipherDecrypt.doFinal(tInBuffer, 0, tNumOfBytesRead);} else {tOutBuffer = tCipherDecrypt.doFinal();}tFileOStream.write(tOutBuffer, 0, tOutBuffer.length);tFileOStream.close();

Figure 6: Decipher the Encrypted File

Step 7a: If the encrypted file contains a Java object, exhaust the Java Cipher to decrypt the ease of the file to a Java ByteArrayOutputStream instead of a FileOutputStream. The near result can subsist converted to an instance of its original Java class.

ByteArrayInputStream tBAIS = new ByteArrayInputStream(tBAOS.toByteArray());  ObjectInput tOIS = new ObjectInputStream(tBAIS);Object tObject = tOIS.readObject();  //-Original Java objecttBAOS.close();tBAIS.close();tOIS.close();

Alternatively, the identical technique can subsist used to decrypt the encrypted file using the symmetric key that was wrapped with the CA or owner's asymmetric public key. If the file was encrypted for another user, the owner can decrypt it using the additionally wrapped symmetric key. If the file was encrypted for oneself, the CA can decrypt it using the additionally wrapped symmetric key in the enterprise version.

Signature VerificationWhen a file has been digitally signed with a user's asymmetric private key, the signature is stored in the Cryptography header. The signature can subsist validated with the user's matching asymmetric public key stored in a certificate. The process involves reading the header, extracting the digital signature and validating it against the ease of the signed file and the asymmetric public key. The following steps picture the process used to verify a digital signature.

Step 1: Assume you want to verify the signature on the encrypted and digitally signed file, "C:\sampleFile.txt.jxdoe_nnnn.asg" and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the file. Read the header from the signed file. After the header is read, preserve in intellect that the DataInputStream now points to the beginning of the encrypted data.

File tSrcFile = new File("C:\\sampleFile.txt." + tUniqueAlias + ".asg");DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;byte[] tCurrSignature = tHead.signature();

Step 2: Retrieve the certificate whose appellation is stored in the header and contains the asymmetric public key needed for verification. Retrieve the asymmetric public key from the certificate associated with the digital signature.

String tCertName = "C:\\" + tHead.verifySigCertName();InputStream tInStream = new FileInputStream(tCertName);CertificateFactory tFactory = CertificateFactory.getInstance("X.509","BC");X509Certificate tCert =(X509Certificate)tFactory.generateCertificate(tInStream);tInStream.close();PublicKey tPubKey = tCert.getPublicKey();

Figure 7: Extract Public Key

Step 3: Instantiate a Java signature engine and initialize it with the signature algorithm stored in the header and the asymmetric public key. The default value is "SHA512WithRSAEncryption".

Signature tSgnVerifyEngine = null;String tSigAlg = tHead.signatureAlgDesc();tSgnVerifyEngine = Signature.getInstance(tSigAlg,"BC");tSgnVerifyEngine.initVerify(tPubKey);

Step 4: exhaust the Java signature engine to process the ease of the signed file and calculate a hash number that will subsist compared with the signature stored in the header.

int tBlockSize = 4096;byte[] tBuffer = new byte[tBlockSize];int tLength = tDInStream.read(tBuffer);while (tLength == tBlockSize) {tSgnVerifyEngine.update(tBuffer, 0, tBlockSize);tLength = tDInStream.read(tBuffer);} if (tLength > 0) {tSgnVerifyEngine.update(tBuffer, 0, tLength);}

Step 5: After the file has been processed, exhaust the Java signature engine to verify its result with the digital signature. A Boolean result is returned on whether the signature was valid.

Boolean tResult = tSgnVerifyEngine.verify(tCurrSignature);

SummaryThe article demonstrates how to decrypt and verify the digit signature of and encrypted file using Java Cryptography methods and the Cryptography libraries from Bouncy Castle organization. Using the information provided within the Cryptography header, the user can validate who encrypted its contents and/or decipher the encrypted file. The header also provides the flexibility to expand the usage of Cryptography such as allowing multiple recipients to decrypt a file by using each of their public keys to encrypt the identical symmetric key. As society adopts file encryption as a criterion passage of protection, more creative uses will subsist invented by future Cyber warriors.

The source code (LaCryptoJarSample.java) is available on the ratiocinative Answers Inc. website under the education web page as an individual file and also within the zip file, laCrypto-4.2.0.zipx.

References and Other Technical NotesSoftware requirements:

  • Computer running Windows XP or higher...
  • Java Runtime (JRE V1.7 or higher)
  • Recommended reading:

  • "Beginning Cryptography with Java" by David Hook.
  • "The Code Book" by Simon Singh

  • Avoid Bothersome Garbage Collection Pauses | killexams.com real questions and Pass4sure dumps

    Many engineers complain that the non-deterministic deportment of the garbage collector prevents them from utilizing the Java environment for mission-critical applications, especially distributed message-driven displays (GUIs) where user responsiveness is critical. They correspond that garbage collection does occur at the worst times: for example, when a user clicks a mouse or a new message enters the system requiring immediate processing. These events must subsist handled without the slow of in-progress garbage collection. How accomplish they prevent these garbage collection pauses that tamper with the responsiveness of an application ("bothersome pauses")?

    We absorb discovered a very efficacious technique to prevent bothersome garbage collection pauses and build responsive Java applications. This technique or pattern is especially efficacious for a distributive message-driven panoply system with soft real-time constraints. This article details this pattern in three simple steps and provides evidence of the effectiveness of the technique.

    Pattern to Control Garbage Collection PausesThe Java environment provides so many benefits to the software community - platform independence, industry momentum, a plethora of resources (online tutorials, code, interest groups, etc.), object-oriented utilities and interfaces (collections, network I/O, fluctuate display, etc.) that can subsist plugged in and out - that once you absorb experienced working with Java it's difficult to plod back to traditional languages. Unfortunately, in some mission-critical applications, enjoy message-driven GUIs that must subsist very responsive to user events, the requirements coerce you to pilfer that step backward. There's no room for multiple second garbage collection pauses. (The garbage collector collects everything the "unreachable" references in an application so the space consumed by them can subsist reused. It's a low-priority thread that usually only takes priority over other threads when the VM is running out of memory.) accomplish they really absorb to lose everything the benefits of Java? First, let's account the requirements.

    A system engineer should account imposing requirements for garbage collection enjoy the following list taken from a telecom industry illustration (see References).1.  GC sequential overhead on a system may not subsist more than 10% to ensure scalability and optimal exhaust of system resources for maximum throughput.2.  Any single GC suspension during the entire application hurry may subsist no more than 200ms to meet the latency requirements as set by the protocol between the client and the server, and to ensure superb response times by the server.

    Armed with these requirements, the system engineer has defined the worst-case deportment in a manner that can subsist tested.

    The next question is: How accomplish they meet these requirements? Alka Gupta and Michael Doyle develop excellent suggestions in their article (see References). Their approach is to tune the parameters on the Java Virtual Machine (JVM). They pilfer a slightly different approach that leaves the exhaust of parameter definitions as defined by the JVM to subsist used as a final tuning technique.

    Why not counsel the garbage collector what and when to collect?

    In other words, control garbage collection via the software architecture. develop the job of the garbage collector easy! This technique can subsist described as a multiple step pattern. The first step of the pattern is described below as "Nullify Objects." The second step involves forcing garbage collection to occur as delineated in "Forcing Garbage Collection." The final step involves either placing persistent data out of the attain of the collector or into a data pool so that an application will continue to discharge well in the long run.

    Step 1: Nullify ObjectsMemory leaks strike horror into the hearts of programmers! Not only accomplish they demean performance, they eventually terminate the application. Yet memory leaks prove very subtle and difficult to debug. The JVM performs garbage collection in the background, freeing the coder from such details, but traps silent exist. The biggest danger is placing an kick into a collection and forgetting to remove it. The memory used by that kick will never subsist reclaimed.

    A programmer can prevent this kind of memory leak by setting the kick reference and everything underlying kick references ("deep" objects) to null when the kick is no longer needed. Setting an kick reference to "null" tells the garbage collector that at least this one reference to the kick is no longer needed. Once everything references to an kick are cleared, the garbage collector is free to reclaim that space. Giving the collector such "hints" makes its job easier and faster. Moreover, a smaller memory footprint also makes an application hurry faster.

    Knowing when to set an kick reference to null requires a complete understanding of the problem space. For instance, if the remote receiver allocates the memory space for a message, the ease of the application must know when to release the space back for reuse. Study the domain. Once an kick or "subobject" is no longer needed, counsel the garbage collector.

    Thus, the first step of the pattern is to set objects to null once you're certain they're no longer needed. They call this step "nullify" and comprehend it in the definition of the classes of frequently used objects.

    The following code snippet shows a method that "nullifies" a track object. The class members that consist of primitives only (contain no additional class objects) are set to null directly, as in lines 3-5. The class members that contain class objects provide their own nullify method as in line 9.

    1 public void nullify () {23 this.threatId = null ;4 this.elPosition = null ;5 this.kinematics = null ;67 if (this.iff != null)8 {9 this.iff.nullify();10 this.iff = null ;11 }12 }

    The track nullify is called from the thread that has completed processing the message. In other words, once the message has been stored or processed, that thread tells the JVM it no longer needs that object. Also, if the kick was placed in some Collection (like an ArrayList), it's removed from the Collection and set to null.

    By setting objects to null in this manner, the garbage collector and thus the JVM can hurry more efficiently. Train yourself to program with "nullify" methods and their invocation in mind.

    Step 2: "Force" Garbage CollectionThe second step of the pattern is to control when garbage collection occurs. The garbage collector, GC, runs as Java priority 1 (the lowest priority). The virtual machine, VM, runs at Java priority 10 (the highest priority). Most books recommend against the usage of Java priority 1 and 10 for assigning priorities to Java applications. In most cases, the GC runs during idle times, generally when the VM is waiting for user input or when the VM has hurry out of memory. In the latter case, the GC interrupts high-priority processing in the application.

    Some programmers enjoy to exhaust the "-Xincgc" directive on the Java command line. This tells the JVM to discharge garbage collection in increments when it desires. Again, the timing of the garbage collection may subsist inopportune. Instead, they suggest that the garbage collector discharge a full garbage collection as soon as it can in either or both of two ways:1.  Request garbage collection to happen as soon as possible: This method proves useful when the programmer knows he or she has a "break" to garbage collect. For example, after a great image is loaded into memory and scaled, the memory footprint is large. Forcing a garbage collection to occur at that point is wise. Another superb zone may subsist after a great message has been processed in the application and is no longer needed.2.  Schedule garbage collection to occur at a fixed rate: This method is optimal when the programmer does not absorb a specific jiffy when he knows his application can desist shortly and garbage collect. Normally, most applications are written in this manner.

    Listing 1 introduces a class named "BetterControlOfGC". It's a utility class that provides the methods described earlier. There are two public methods: "suggestGCNow()" and "scheduleRegularGC(milliseconds)" that respectively correspond to the steps described earlier. Line 7 suggests to the VM to garbage collect the unreachable objects as soon as possible. The documentation makes it clear that the garbage collection may not occur instantaneously, but undergo has shown that it will subsist performed as soon as the VM is able to accomplish the task. Invoking the method on line 25 causes garbage collection to occur at a fixed rate as determined by the parameter to the method.

    In scheduling the GC to occur at a fixed rate, a garbage collection stimulator task, GCStimulatorTask, is utilized. The code extends the "java.util.timer" thread in line 10. No new thread is created; the processing runs on the single timer thread available beginning with the Java 1.3 environment. Similarly, to preserve the processing lean, the GC stimulator follows the Singleton pattern as shown by lines 18-23 and line 27. There can subsist only one stimulator per application, where an application is any code running on an instance of the JVM.

    We suggest that you set the interval at which the garbage collector runs from a Java property file. Thus you can tune the application without having to recompile the code. Write some simple code to read a property file that's either a parameter on the command line or a resource bundle in the class path. station the command parameter "-verbose:gc" on your executable command line and measure the time it takes to garbage collect. Tune this number until you achieve the results you want. If the budget allows, experiment with other virtual machines and/or hardware.

    Step 3: Store Persistent Objects into Persistent Data Areas or Store Long-Lived Objects in PoolsUsing persistent data areas is purely optional. It supports the underlying premise of this article. In order to bind the disruption of the garbage collector in your application, develop its job easy. If you know that an kick or collection of objects would live for the duration of your application, let the collector know. It would subsist nice if the Java environment provided some sort of flag that could subsist placed on objects upon their creation to counsel the garbage collector "-keep out". However, there is currently no such means. (The Real-Time Specification for Java describes an zone of memory called "Immortal Memory" where objects live for the duration of the application and garbage collection should not run.) You may try using a database; however, this may tedious down your application even more. Another solution currently under the Java Community Process is JSR 107. JCache provides a criterion set of APIs and semantics that allow a programmer to cache frequently used data objects for the local JVM or across JVMs. This API is silent under review and may not subsist available yet. However, they believe it holds much swear for the Java developer community. preserve this avenue open and in intellect for future architectures. What can they accomplish now?

    The pooling of objects is not new to real-time programmers. The concept is to create everything your expected data objects before you start processing, then everything your data can subsist placed into structures without the expense of instance creation during processing time. This has the edge of keeping your memory footprint stable. It has the detriment of requiring a "deep copy" method to subsist written to store the data into the pool. (If you simply set an kick to another, you're changing the kick reference and not reusing the identical space.) The nanosecond expense of the profound copy is far less than that of the kick instance creation.

    If the data pooling technique is combined with the proper exhaust of the "nullify" technique, garbage collection becomes optimized. The reasons are fairly straightforward:1.  Since the kick is set to null immediately after the profound copy, it lives only in the youthful generation portion of the memory. It does not progress into the older generations of memory and thus takes less of the garbage collector's cycle time.2.  Since the kick is nullified immediately and no other reference to it exists in some other collection kick in the application, the job of the garbage collector is easier. In other words, the garbage collector does not absorb to preserve track of an kick that exists in a collection.

    When using data pools, it's sage to exhaust the parameters "-XX:+UseConcMarkSweepGC -XX:MaxTenuringThreshold=0 -XX:SurvivorRatio=128" on the command line. These counsel the JVM to plod objects on the first sweep from the new generation to the old. It commands the JVM to exhaust the concurrent tag sweep algorithm on the musty generation that proves more efficient since it works "concurrently" for a multi-processor platform. For single processor machines, try the "-Xincgc" option. We've seen those long garbage collector pauses, which occur after hours of execution, vanish using this technique and these parameters. Performing well in the long hurry is the honest benefit of this last step.

    Performance ResultsTypically, most engineers want proof before changing their approach to designing and coding. Why not? Since we're now suggesting that even Java programmers should subsist concerned about resource allocation, it better subsist worth it! Once upon a time, assembly language and C programmers spent time tweaking memory and register usage to improve performance. This step was necessary. Now, as higher-level object-oriented programmers they may disdain this thought. This pattern has dared to imply that such considerations, although not as low plane as registers and memory addresses (instead at the kick level), are silent necessary for high-performance coding. Can it subsist true?

    The underlying premise is that if you know how your engine works, you can drive it better to obtain optimal performance and endurance. This is as honest for my 1985 300TD (Mercedes, five cylinder, turbo diesel station wagon) with 265,000 miles as for my Java code running on a HotSpot VM. For instance, knowing that a diesel's optimal performance is when the engine is warm since it relies on compression for power, I let my car warm up before I "push it." Similarly, I don't overload the vehicle with the tons of stuff I could station in the tailgate. HotSpot fits the analogy. Performance improves after the VM "warms up" and compiles the HotSpot code into the aboriginal language. I also preserve my memory footprint rawboned and light. The comparison breaks down after awhile, but the basic veracity does not change. You can exhaust a system the best when you understand how it works.

    Our challenge to you is to pilfer statistics before and after implementing this pattern on just a minuscule portion of your code. gratify recognize that the gain will subsist best exemplified when your application is scaled upward. In other words, the heavier the load on the system, the better the results.

    The following statistics were taken after the pattern was applied. They are charted as:1.  Limited nullify method invocation is used where only the incoming messages are not "nullified." (The ease of the application from which the statistics were taken was left intact with a very rawboned memory usage.) There is no forced garbage collection.2.  Nullify method invocation and forced garbage collection is utilized.

    The test environment is a Microsoft Windows 2000 X86 Family 15 Model 2 Stepping 4 Genuine Intel ~1794MHz laptop running the BEA WebLogic Server 7.0 with Service Pack 7.1 with a physical memory size of 523,704KB. The Java Message Server (JMS server), a track generator, and a tactical panoply are everything running on the identical laptop over the local developer network (MAGIC). The server makes no optimizations, even though each application resides locally. The JVMs are treated as if they were distributed across the network. They're running on the J2SE 1.4.1 release.

    The test target application is a Java fluctuate Tactical panoply with full panning, zooming, and track-hooking capabilities. It receives bundles of tracks via the Java Message Service that are displayed at their proper location on the given image. Each track is approximately 88 bytes and the overall container size is about 70 bytes. This byte measurement does not comprehend everything the additional class information that's also sent during serialization. The container is the message that holds an array of tracks that contains information such as time and number of tracks. For their tests, the tracks are sent at a 1Hz rate. Twenty sets of data are captured.

    To illustrate the test environment, a screen capture of a 5,000 track load (4,999 tracks plus the ship) is shown in design 1. The background shows tracks rendered with the Military criterion 2525B symbology over an image of the Middle East. The minuscule window titled "Track Generator Desktop" is a minimized window showing the parameters of the test set through the track generator application. Notice that 45 messages had been sent at the time of the screen capture. Directly beneath this window sits the Windows job Manager. Note that the CPU utilization is at 83%. At first this doesn't seem that bad. But at that rate, there isn't much room for the user to start zooming, panning, hooking tracks, and so on. The final command window to the prerogative is that of the tactical panoply application. The parameter "-verbose:gc" is placed on the Java command line (java -verbose:gc myMainApplication.class). The VM is performing the listed garbage collection at its own rate, not by command of the application.

    The final test of 10,000 tracks performed extremely poorly. The system does not scale; the CPU is pegged. At this point most engineers may jeer at Java again. Let's pilfer another study after implementing the pattern.

    After implementation, where the nullify methods are invoked properly and garbage collection is requested at a sporadic interval (2Hz), melodramatic improvements are realized. The last test of 10,000 tracks proves that the processor silent has plenty of room to accomplish more work. In other words, the pattern scales very well.

    Performance SummaryThe pattern to advocate control garbage collection pauses most definitely improves the overall performance of the application. Notice how well the pattern scales under the heavier track loads in the performance bar chart in design 2. The darker middle bar shows the processor utilization at each plane of the message (track) load. As the message traffic increases, the processor utilization grows more slowly than without the pattern. The last light-colored bar shows the improved performance. The main power of the pattern is how well it scales under massive message loads.

    There is another subtle power to the pattern. This one is difficult to measure since it requires very long-lived tests. If Step 3 is faithfully followed, those horribly long garbage collection pauses that occur after hours of running disappear. This is a key benefit to the pattern since most of their applications are designed to hurry "forever."

    We're confident that many other Java applications would benefit from implementing this very simple pattern.

    The steps to control garbage collection pauses are:1.  Set everything objects that are no longer in exhaust to null and develop certain they're not left within some collection. "Nullify" objects.2.  coerce garbage collection to occur both:

  • After some major memory-intense operation (e.g., scaling an image)
  • At a sporadic rate that provides the best performance for your application3.  reclaim long-lived data in a persistent data zone if feasible or in a pool of data and exhaust the commandeer garbage collector algorithm.

    By following these three simple steps, you'll avoid those bothersome garbage collection pauses and savor everything the benefits of the Java environment. It's time the Java environment was fully utilized in mission-critical panoply systems.

    References

  • Gupta, A., and Doyle, M. "Turbo-Charging the Java HotSpot Virtual Machine, v1.4.x to improve the Performance and Scalability of Application Servers": http://developer.java.sun.com/developer/ technicalArticles/Programming/turbo/
  • JSR 1, Real-Time Specification for Java: http://jcp.org/en/jsr/detail?id=1
  • Java HotSpot VM options: http://java.sun.com/docs/hotspot/VMOptions.html
  • Java Specification Request for JCache: http://jcp.org/en/jsr/detail?id=107

  • Silverlight v1.0 Beta vs. Silverlight 1.1 Alpha - Huh?? | killexams.com real questions and Pass4sure dumps

    By Kevin Hoffman

    Article Rating:

    May 2, 2007 11:15 AM EDT

    Reads:

    20,088 Kevin Hoffman's Blog

    The short of the yarn is that Silverlight 1.0 applications don't advocate code-behind, they don't advocate making unostentatious XML calls back to a web service (despite some other people's claims to the contrary, 1.0 will not let you accomplish this!), and there is no real two-way binding (though you can set values of controls in response to events, which is what I call "old school" binding).

    Silverlight 1.1, however.. now this all project is actually starting to prove some promise. For starters, Silverlight 1.1:

  • Supports communication via XML over HTTP, which makes it model for "RESTy POX". Note that the 1.1 alpha version doesn't allow cross-domain access, so you'll silent absorb to drop in server-side service proxies for accessing remote services (which is actually more secure anyway....)
  • You can write "code behind" your Silverlight apps in C# or VB.NET
  • You can write your Silverlight apps using the Dynamic Language Runtime, which means you gather to exhaust VB9 or IronPython.
  • Still has everything the loaded media/video advocate that Silverlight 1.0 has
  • Create a "Silverlight" project from Visual Studio "Orcas" Beta 1.
  • I'm going to subsist looking into this further and will subsist posting my thoughts on it, but now that they can finally play with a "real" version of Silverlight, they can hopefully desist the dementia that was the 1.0 version.

    tags: silverlight  beta  alphalinks: digg this  del.icio.us  technorati  reddit

    Kevin Hoffman, editor-in-chief of SYS-CON's iPhone Developer's Journal, has been programming since he was 10 and has written everything from DOS shareware to n-tier, enterprise web applications in VB, C++, Delphi, and C. Hoffman is coauthor of Professional .NET Framework (Wrox Press) and co-author with Robert Foster of Microsoft SharePoint 2007 progress Unleashed. He authors The .NET Addict's Blog at .NET Developer's Journal.

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    See-Beyond [1 Certification Exam(s) ]
    Siemens [1 Certification Exam(s) ]
    Snia [7 Certification Exam(s) ]
    SOA [15 Certification Exam(s) ]
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    Symantec [134 Certification Exam(s) ]
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    The-Open-Group [8 Certification Exam(s) ]
    TIA [3 Certification Exam(s) ]
    Tibco [18 Certification Exam(s) ]
    Trainers [3 Certification Exam(s) ]
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    TruSecure [1 Certification Exam(s) ]
    USMLE [1 Certification Exam(s) ]
    VCE [6 Certification Exam(s) ]
    Veeam [2 Certification Exam(s) ]
    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]





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